wehub-resource-sync
82 lines
3.1 KiB
C++
82 lines
3.1 KiB
C++
/* Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include "paddle/phi/kernels/funcs/eigen/eigen_function.h"
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namespace phi::funcs {
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template <typename T>
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struct EigenAdd<Eigen::DefaultDevice, T> {
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using InType = Eigen::TensorMap<
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Eigen::
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TensorFixedSize<const T, Eigen::Sizes<>, Eigen::RowMajor, int64_t>>;
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using OutType = Eigen::TensorMap<
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Eigen::TensorFixedSize<T, Eigen::Sizes<>, Eigen::RowMajor, int64_t>>;
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static void Eval(const Eigen::DefaultDevice& dev,
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OutType out,
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const InType& in,
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const T value) {
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out.device(dev) = in + value;
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}
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};
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template struct EigenAdd<Eigen::DefaultDevice, float>;
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template struct EigenAdd<Eigen::DefaultDevice, double>;
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template struct EigenAdd<Eigen::DefaultDevice, int>;
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template struct EigenAdd<Eigen::DefaultDevice, int64_t>;
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template <typename T>
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struct EigenSub<Eigen::DefaultDevice, T> {
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using InType =
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Eigen::TensorMap<Eigen::Tensor<const T, 1, Eigen::RowMajor, int64_t>>;
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using OutType =
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Eigen::TensorMap<Eigen::Tensor<T, 1, Eigen::RowMajor, int64_t>>;
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static void Eval(const Eigen::DefaultDevice& dev,
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OutType out,
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const InType& left,
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const InType& right) {
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out.device(dev) = left - right;
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}
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};
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template struct EigenSub<Eigen::DefaultDevice, float>;
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template <typename T>
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struct EigenDiv<Eigen::DefaultDevice, T> {
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using InType =
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Eigen::TensorMap<Eigen::Tensor<const T, 1, Eigen::RowMajor, int64_t>>;
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using OutType =
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Eigen::TensorMap<Eigen::Tensor<T, 1, Eigen::RowMajor, int64_t>>;
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static void Eval(const Eigen::DefaultDevice& dev,
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OutType out,
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const InType& in,
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const T value) {
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out.device(dev) = in / value;
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}
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};
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template struct EigenDiv<Eigen::DefaultDevice, float>;
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template struct EigenDiv<Eigen::DefaultDevice, double>;
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template struct EigenDiv<Eigen::DefaultDevice, int>;
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template struct EigenDiv<Eigen::DefaultDevice, int64_t>;
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template struct EigenDiv<Eigen::DefaultDevice, bool>;
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template struct EigenDiv<Eigen::DefaultDevice, int8_t>;
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template struct EigenDiv<Eigen::DefaultDevice, uint8_t>;
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template struct EigenDiv<Eigen::DefaultDevice, int16_t>;
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template struct EigenDiv<Eigen::DefaultDevice, phi::dtype::float16>;
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template struct EigenDiv<Eigen::DefaultDevice, phi::dtype::bfloat16>;
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template struct EigenDiv<Eigen::DefaultDevice, phi::dtype::complex<float>>;
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template struct EigenDiv<Eigen::DefaultDevice, phi::dtype::complex<double>>;
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} // namespace phi::funcs
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